Retracted: Rearrangement of Electrical Distribution Networks With Optimal Coordination of Grid-Connected Hybrid Electric Vehicles and Wind Power Generation Sources by Javad Tabatabaei, Mahmoud Samiei Moghaddam, Javad Mohammadi Baigi

Get full text

Microgrid Energy Management Considering Energy Storage Degradation Cost by Yiming Zhao, Hongrui Li, Changsheng Wan, Dong Du, Bo Chen

Get full text

Defatting strategies for chia protein production: effects on physicochemical properties by Simon Dirr, Ozlem Ozmutlu Karslioglu, Elif Gokcen Ates, Mecit H. Oztop

“…This study provides actionable insights for optimizing plant-based protein ingredients by balancing extraction efficiency, functional performance, and sustainability goals across chia seed sources and processing technologies.…”
Get full text

Optimizing Biochar Concentration for Mitigating Nutrient Losses in Runoff: An Investigation into Soil Quality Improvement and Non-Point Source Pollution Reduction by Liqi Xing, Xiaoyin Niu, Xianwei Yin, Zhenhao Duan, Aiju Liu, Yanfei Ma, Peiling Gao

“…The use of biochar is an effective method to solve this problem. The aim of this study was to determine the optimal concentration of added biochar to reduce the soil particle, NH₄⁺ -N (AN), NO₃⁻ -N (NN), and total phosphorus (TP) losses. …”
Get full text

Dynamic weighting factor assignment method for the predictive control of electrical drives by Kristóf Bándy, Péter Stumpf

“…Furthermore, the method determines the optimal value of weighting factors in real‐time with low added calculation complexity. …”
Get full text

A Novel Classification Method for Flutter Signals Based on the CNN and STFT by Shiqiang Duan, Hua Zheng, Junhao Liu

“…In this study, a signal processing method was established to use the structural response signals from an aeroelastic model to classify flutter signals via deep learning algorithm. …”
Get full text

Assessing the Impact of Nutritional Knowledge and Information Sources on the Sports Performance of Elite Ethiopian Track Athletes: Insights for Optimized Sports Nutrition by Abdi Gudeta Taye, Ajita D Singh

Get full text

Multi-Source Data-Driven Terrestrial Multi-Algorithm Fusion Path Planning Technology by Xiao Ji, Peng Liu, Meng Zhang, Chengchun Zhang, Shuang Yu, Bing Qi, Man Zhao

“…This paper presents a multi-source data-driven hybrid path planning framework that integrates global A* search with local Deep Q-Network (DQN) optimization to address complex terrestrial routing challenges. …”
Get full text

A Comprehensive Review of Optimizing Multi-Energy Multi-Objective Distribution Systems with Electric Vehicle Charging Stations by Mahesh Kumar, Aneel Kumar, Amir Mahmood Soomro, Mazhar Baloch, Sohaib Tahir Chaudhary, Muzamil Ahmed Shaikh

Get full text

Lighting Spectrum Optimization With Deep Learning for Moss Species Classification by Kenichi Ito, Pauli Falt, Markku Hauta-Kasari, Shigeki Nakauchi

“…Additionally, adequate lighting is crucial for detailed imaging in dark environments lacking ambient light. Hence, we propose a method for obtaining spectral information on moss in the forest using a deep learning model to train convolutional neural network models while optimizing a suitable light source for moss identification. …”
Get full text

Ecological networks construction and optimization in the Longdong Loess Plateau: The advantages of self-organizing map and complex networks by Xueyu Huang, Lina Xiu, Zhixiang Lu, Jiahui Wang

“…Ecological networks (ENs) construction, which is the basis for sustainable regional development, is influenced by the accuracy of source identification. Currently, the method of utilizing multiple ecosystem services (ESs) to identify ecological sources can only highlight areas with high values of these services. …”
Get full text

Affinely adjustable robust optimal scheduling of a power system considering the flexibility of supply and demand by Yumin Zhang, Yongchen Zhang, Xizhen Xue, Xingquan Ji, Yunqi Wang, Pingfeng Ye

“…This paper proposes a stochastic power system dispatch method based on affinely adjustable robust optimization (AARO) with a generalized linear polyhedron (GLP) uncertainty set that can accurately quantify the flexibility of the power system supply and demand as well as enhance the optimality of dispatch strategies. …”
Get full text

Multi-Timescale Battery-Charging Optimization for Electric Heavy-Duty Truck Battery-Swapping Stations, Considering Source–Load–Storage Uncertainty by Peijun Shi, Guojian Ni, Rifeng Jin, Haibo Wang, Jinsong Wang, Zhongwei Sun, Guizhi Qiu

“…To mitigate this, this paper proposes a multi-timescale battery-charging optimization for electric heavy-duty truck battery-swapping stations, taking into account the source–load–storage uncertainty. …”
Get full text

Optimization of α-mangostin and catechins compound extraction from mangosteen skin extract (Garcinia Mangostana L.) as potential antioxidant using combination method of microwaved... by Hakun Wirawasista Aparamarta, Muhammad Rizky Sanjaya, Rigen Azimatarrusydi, Tepy Lindia Nanta, Arief Widjaja, Michael W.Y. Chan

“…Subsequent purification using the BSE method further refined the extract by exploiting polarity differences. …”
Get full text

Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions by You-Kwang Wang, Chien-Yu Chen

Get full text

A Comprehensive Survey on Split-Fed Learning: Methods, Innovations, and Future Directions by Geetabai S. Hukkeri, R. H. Goudar, G. M. Dhananjaya, Vijayalaxmi N. Rathod, Shilpa Ankalaki

Get full text

Building a Computer Vocational Guidance System for Graduates of Secondary Educational Institutions Based on a Genetic Algorithm by A. P. Sergushicheva, E. N. Davydova

“…Genetic algorithms are widely used to solve search and optimization problems in various subject areas. The authors propose to automate the process of identifying the tendency of secondary school graduates to a particular type of activity by building a vocational guidance system based on a genetic algorithm.Materials and methods. …”
Get full text

Power electronics for green hydrogen generation with focus on methods, topologies, and comparative analysis by AlAmir Hassan, Omar Abdel-Rahim, Mohit Bajaj, Ievgen Zaitsev

Get full text

Machine Learning in Smart Buildings: A Review of Methods, Challenges, and Future Trends by Fatema El Husseini, Hassan N. Noura, Ola Salman, Khaled Chahine

Get full text

Comparative analysis of methods for seasonal particulate organic nitrate estimation in urban areas by Wenfei Zhu, Jialin Shi, Song Guo, Qinghong Wang, Jun Chen, Shengrong Lou, Min Hu

“…The factors associated with organic nitrate, as identified through two receptor methods, exhibited consistent daily patterns in spring, summer, and autumn, although source contributions varied. …”
Get full text